Robotics Annotator Rater (Work From Home)

Innodata Inc.; Mandaue; Remote; PHP 347,000 - 695,000; Part time

Job summary

Innodata Inc. is hiring a Robotics Annotator Rater for a 100% remote, project-based engagement. You will review household-task videos, identify valid actions, and write clear Natural Language Descriptions according to project guidelines.

AHT is up to 60 minutes per job, with flexible hours to follow. Qualifications include a 4-year college degree and experience in data annotation or related guideline-based work is a plus.

Qualifications

• College graduate (any 4-year course).
• Experience in data annotation or AI training is an advantage.
• Familiarity with QA processes and strict guideline adherence preferred.

Responsibilities

• Review the full video.
• Identify actions to include, exclude, group, or separate.
• Identify the correct object, action, hand designation, and destination when applicable.
• Write concise and grammatically correct NLDs.
• Review work before submission.
• Apply feedback and guideline updates to subsequent tasks.

Skills

Data annotation

Video evaluation

QA process

Transcription

Education

4-year college degree

Job description

We are currently hiring a Robotics Annotator Rater role for an exciting AI/LLM project.

• Engagement Type: Project Based
• Work Arrangement: 100% Remote
• Project Duration: October 28, 2026 - December 31, 2026
• Working Hours: to follow
• Equipment: Must have owndesktop or laptop computer (mobile devices are not supported) and a stable, high-speed internet connection

Raters review household-task videos, identify valid actions, mark accurate start and end timestamps, identify accurate hand designation, and write clear Natural Language Descriptions (NLDs) based on project guidelines. AHT: Up to 60 minutes per job, depending on complexity and video length:

• Review the full video.
• Identify actions to include, exclude, group, or separate.
• Identify the correct object, action, hand designation, and destination when applicable.
• Write concise and grammatically correct NLDs.
• Review work before submission.
• Apply QPE feedback and guideline updates to succeeding tasks.

Qualifications:

• College graduate (any 4-year course)

Preferred Background

• Experience in data annotation, AI training, video/image evaluation, QA, transcription, captioning, or similar guideline-based work is an advantage.